Define the risk and action first

Stockout risk, low coverage, delayed inbound, overstock, and assortment gaps need different conditions and owners. Let the model present facts and state while approved business rules decide notification and escalation.

Preserve inventory state changes

Separate available, reserved, in-transit, returned, and unsellable stock. Distinguish zero from missing and failed collection. Add demand windows, promotion plans, supplier lead time, minimum order quantity, and inbound status.

Layer alert methods

Fixed thresholds fit stable items, coverage days fit changing demand, and trend detection finds sudden shifts. Show the triggering rule, data time, and rule version. BI0 supports inventory and alert directions, while exact algorithms and connectors require POC confirmation.

Replay history and inspect samples

Replay prior orders and inventory, checking lead time, duplicates, and degraded behavior during missing data. Measure useful alerts, false alerts, advance notice, closure time, and recovery after replenishment.

Public references

Take the next step with BI0.AI

Talk through a real business scenario and see how governed AI BI can fit your team.

Explore BI0.AI